Agent Skills Hub

chrome-devtools-mcp

Chrome DevTools MCP server for AI-driven browser automation, testing, and debugging via Puppeteer. Features input automation, visual snapshots, performance tracing, and network inspection.

plugin-development

Develop, test, sign, and publish governance plugins for Memoria using Rhai or gRPC runtimes. Manage the full plugin lifecycle from scaffolding to activation.

long-running-agent

Framework for building AI agents that persist state across multiple context windows, enabling them to complete complex, multi-day coding tasks without losing progress or context.

automating-keynote

Automate Apple Keynote presentations using JXA and PyXA. Create slides, manage documents, add charts, images, and text programmatically via Apple Events.

structuring-plugins

Guides the creation and organization of Claude Code plugins, including directory scaffolding, manifest setup, component management (commands, agents, skills, hooks), and auto-discovery configuration.

django-celery-expert

Expert guidance for Django asynchronous task processing with Celery. Best practices for task design, worker configuration, error handling, periodic tasks, and production monitoring.

projection-patterns

Build read models and projections from event streams for CQRS, materialized views, and optimized query performance in event-sourced systems.

EdgarTools

A comprehensive Python library for querying, parsing, and analyzing SEC EDGAR filings, financial statements, and institutional holdings as structured data objects.

Frontend Components

Standardized configuration and management for Django production server and worker processes.

rag-implementation

Build production-grade RAG systems using vector databases, semantic search, and LangGraph to ground LLMs in external knowledge.

research-grants

Draft competitive research proposals for NSF, NIH, DOE, DARPA, and NSTC. Master agency-specific criteria, budget preparation, visual schematics, and submission compliance.

senior-data-engineer

World-class senior data engineering skill for building scalable data pipelines, ETL/ELT systems, and modern data infrastructure using Python, Spark, dbt, and Kafka.